KR20230170879A - Method for calculating exposure index - Google Patents

Abstract

A search word recommendation method using an exposure index and a device for the same are presented. The search word recommendation device using an exposure index exchanges data with one or more market platforms, and includes a communication unit that communicates with a seller terminal used by a seller, and the seller uses the market platform. A storage unit that stores product information for each product sold online through the seller, and an online market serviced by the market platform using a search term selected for a random target product among products sold online by the seller through the market platform. and a control unit that searches for the target product, checks the exposure position of the target product in the search results, and calculates an exposure index of the selected search word according to the confirmed exposure position.

Description

Search word recommendation method using exposure index and device for the same {METHOD FOR CALCULATING EXPOSURE INDEX}

Embodiments disclosed in this specification provide information to product sellers by calculating the possibility of exposure of the product to prospective buyers for each search term in numerical terms, and inform the seller of the possibility of the product being exposed to prospective buyers. This relates to a search word recommendation method using an exposure index that recommends search terms that can be increased and a device for the same.

Every year, the amount of online shopping transactions reaches its highest level. The type and number of products distributed online are steadily increasing, and this increase is occurring across all product groups.

Accordingly, many sellers sell products through online markets. Especially when selling products through an already popular online marketplace, the cost and effort required to build and maintain an online shopping mall can be saved, and promotional costs for promoting the shopping mall or product can also be minimized. Selling products through widely known online marketplaces has a low barrier to entry, even for small business owners. Accordingly, many sellers are selling their products through online marketplaces such as widely known open markets and social commerce.

Meanwhile, product sellers generally register and sell the same product simultaneously in multiple online marketplaces rather than selling products only through one online marketplace. This is because you can achieve higher sales volume by selling your products through multiple marketplaces.

However, it takes a lot of time and effort to repeatedly register and manage the same product in different online marketplaces. Accordingly, integrated management services have emerged to help product sellers classify and manage products registered in multiple marketplaces by product and easily check the status of product sales within each marketplace. In other words, it manages product information registered in multiple marketplaces, allows modifications to be updated at once, and collects and organizes the sales status of each product in each marketplace, allowing sellers to view each marketplace at a glance. Services are provided that allow you to check the sales status within the company.

The “Shopping Mall Integrated Management System” of Korean Patent Publication No. 10-2020-0091128 describes improving work efficiency by saving labor costs and work time by collectively registering and managing sold products on multiple shopping mall servers.

However, these prior art services simply simplify the seller's product management by allowing the seller to register or update product information in each marketplace according to the settings set by the seller, and the seller's products are not comparable to those of other sellers. It does not provide an active means of purchasing incentives to encourage more sales.

Accordingly, conventional integrated management services do not help sellers secure competitiveness in an online marketplace where product information is transparently disclosed.

Therefore, technology to solve the above-mentioned problems has become necessary.

Meanwhile, the above-described background technology is technical information that the inventor possessed for deriving the present invention or acquired in the process of deriving the present invention, and cannot necessarily be said to be known technology disclosed to the general public before filing the application for the present invention. .

Embodiments disclosed in this specification include, as an integrated management service for an online marketplace, a method and device for recommending search words using an exposure index that quantifies information on the exposure positions of seller products according to search words and market types and provides them to the seller. The purpose is to present

The purpose of the embodiments disclosed in this specification is to present a method and device for recommending search words using the exposure index, which calculates the exposure index for each search word and recommends search words that can increase sales of the seller's products based on the exposure index.

As a technical means for achieving the above-described technical task, according to one embodiment, a search word recommendation device using an exposure index includes a communication unit that exchanges data with one or more market platforms and communicates with a seller terminal used by the seller, and the seller A storage unit that stores product information for each product sold online through the market platform, and the market platform uses a search term selected for a random target product among products sold online by the seller through the market platform. It may include a control unit that searches for the target product in a serviced online market, checks the exposure position of the target product in the search results, and calculates an exposure index of the selected search term according to the confirmed exposure position.

According to another embodiment, the method of recommending search words using an exposure index is performed by a search word recommendation device that exchanges data with one or more market platforms and communicates with a seller terminal used by a seller, and wherein the seller is online through the market platform. Searching for the target product in the online market served by the market platform using a search term selected for any target product among the products being sold, checking the exposure position of the target product in the search results, and confirming the exposure position of the target product in the search results. It may include calculating an exposure index of the selected search term based on the exposure position of the target product, and storing the calculated exposure index in association with the target product and the selected search term.

According to another embodiment, in a computer-readable recording medium on which a program for performing a search term recommendation method using an exposure index is recorded, the search term recommendation method exchanges data with one or more market platforms and communicates with a seller terminal used by the seller. Performed by a search word recommendation device, searching for the target product in the online market served by the market platform using a search word selected for any target product among products sold online by the seller through the market platform. , confirming the exposure position of the target product in the search results, calculating the exposure index of the selected search term based on the confirmed exposure position of the target product, and combining the calculated exposure index with the target product and the It may include a step of saving in association with the selected search term.

According to another embodiment, in a computer program performed by a search term recommendation device using an exposure index and stored in a medium to perform the search term recommendation method, the search term recommendation method exchanges data with one or more market platforms, and the seller It is performed by a search term recommendation device that communicates with the seller terminal being used, and is performed in the online market served by the market platform using a search term selected for any target product among the products sold online by the seller through the market platform. A step of searching for a target product, a step of checking the exposure position of the target product in the search results, a step of calculating an exposure index of the selected search term based on the confirmed exposure position of the target product, and the calculated exposure index. It may include the step of storing the target product in association with the selected search term.

According to one of the means for solving the above-mentioned problem, a search term recommendation method using an exposure index that is provided to the seller by quantifying information on the exposure position of the seller's product according to the search term and market type as an integrated management service for the online marketplace, and a search term recommendation method for the same The device can be presented.

Embodiments disclosed in this specification may provide a method and apparatus for recommending search words using the exposure index, which calculates the exposure index for each search word and recommends search words that can increase sales of a seller's product based on the exposure index.

The effects that can be obtained from the disclosed embodiments are not limited to the effects mentioned above, and other effects not mentioned are clear to those skilled in the art to which the disclosed embodiments belong from the description below. It will be understandable.

Figure 1 is a configuration diagram illustrating a network configuration including a search term recommendation device using an exposure index according to an embodiment.
Figure 2 is a block diagram showing the schematic configuration of a search term recommendation device using an exposure index according to an embodiment.
Figure 3 is a flowchart showing step by step how a search term recommendation device using the exposure index calculates the exposure index.
FIG. 4 is an exemplary diagram illustrating an example of calculating an exposure index according to a grade using the method for calculating the exposure index shown in FIG. 3 .
Figure 5 is a flowchart showing a step-by-step method of recommending search words using exposure index according to an embodiment.

Below, various embodiments will be described in detail with reference to the attached drawings. The embodiments described below may be modified and implemented in various different forms. In order to more clearly explain the characteristics of the embodiments, detailed descriptions of matters widely known to those skilled in the art to which the following embodiments belong have been omitted. In addition, in the drawings, parts that are not related to the description of the embodiments are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a configuration is said to be “connected” to another configuration, this includes not only cases where it is ‘directly connected’, but also cases where it is ‘connected with another configuration in between’. In addition, when a configuration “includes” a configuration, this means that other configurations may be further included rather than excluding other configurations, unless specifically stated to the contrary.

Hereinafter, embodiments will be described in detail with reference to the attached drawings.

FIG. 1 is a block diagram showing a network configuration including a search word recommendation device using an exposure index according to an embodiment, and FIG. 2 is a block diagram showing a schematic configuration of a search word recommendation device using an exposure index according to an embodiment. It is also a degree.

The system 10 including the search word recommendation device 100 according to an embodiment includes, in addition to the search word recommendation device 100, one or more seller terminals 200 and one or more market platforms 300.

Here, the search word recommendation device 100 is an integrated management service that allows sellers to integrate and manage information on products sold by sellers in the online marketplace (hereinafter referred to as 'online market') serviced by the market platform 300. provides. For example, the integrated management service may include enabling the search term recommendation device 100 to generate and manage product information for each product handled by sellers, and automatically register and update each product information in the online market. You can.

To this end, the search word recommendation device 100 collects account information of the seller account created by each seller on the market platform 300, and uses this to access each online market on behalf of the seller to register or update product information. there is.

Here, product information includes the unique identifier assigned to the product, product name, product image, product thumbnail image, product description, product seller information, product manufacturer information, keywords related to the product, category information to which the product belongs, etc. It can be included.

The search term recommendation device 100 may provide a user interface for inputting product information to the seller in order to directly input data included in the product information from the seller. At this time, the user interface may include an input field that can separately input each data included in the product information.

Additionally, the search word recommendation device 100 may collect product information already registered by the seller in the market platform 300 by crawling the sales page of the product. Furthermore, the search term recommendation device 100 may access the market platform 300 using the seller's online market account information and then collect product information by crawling product information registered for the seller.

In addition, the search word recommendation device 100 can register the product information collected in this way to several different market platforms 300 or update product information already registered in the market platform 300 based on the collected product information. At this time, the search word recommendation device 100 can use the seller's account information in each online market to connect on behalf of the seller and register or update product information.

To this end, the search word recommendation device 100 can exchange data with the seller terminal 200 and the market platform 300 through the network (N).

This search word recommendation device 100 may be composed of an information processing device that constitutes a server of a typical server-client system, or a group of information processing devices.

Meanwhile, the seller terminal 100 is a user terminal used by sellers, which connects to a remote server through a network (N) or is connected to a computer, portable terminal, television, wearable device, etc. that can be connected to other terminals and servers. It can be implemented. Here, the computer includes, for example, a laptop, desktop, laptop, etc. equipped with a web browser, and the portable terminal is, for example, a wireless communication device that guarantees portability and mobility. , PCS (Personal Communication System), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), GSM (Global System for Mobile communications), IMT (International Mobile Telecommunication)-2000, CDMA (Code) All types of handhelds such as Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet), Smart Phone, Mobile WiMAX (Mobile Worldwide Interoperability for Microwave Access), etc. (Handheld)-based wireless communication device may be included. Additionally, television may include IPTV (Internet Protocol Television), Internet TV (Internet Television), terrestrial TV, cable TV, etc. Furthermore, a wearable device is a type of information processing device that can be worn directly on the human body, such as a watch, glasses, accessories, clothing, or shoes, and can connect to a remote server or other terminal via a network directly or through another information processing device. can be connected to

A client program such as a web browser or an application that communicates with the search word recommendation device 100 may be installed on the seller terminal 200 so that the seller can receive the integrated management service provided by the search word recommendation device 100. The terminal 200 can exchange data with the search word recommendation device 100 through this.

Furthermore, the market platform 300 consists of a device or group of devices that provide an online market, and may be operated by an entity that provides services such as a general open market or social commerce. The market platform 300 provides product information of the seller's products to buyers so that multiple sellers and multiple buyers can sell and buy products through an online market, and makes payment according to the purchaser's intention to purchase the product. It allows purchases to be made and services such as inquiry of purchase details or delivery tracking can be provided.

Users can access this market platform 300 by signing up as a general buyer or a seller using account information divided into a buyer account and a seller account, respectively.

In particular, sellers can register the product information of the product they wish to sell in the online market according to the method required by the market platform 300 and enable the product to be sold. Specifically, the market platform 300 may provide a user interface for registering product information so that sellers can input various information included in the product information. This user interface is provided with input fields where various types of data included in product information can be entered separately, and sellers can register product information by entering data corresponding to each input field.

Accordingly, the market platform 300 may create a sales page for a product with registered product information, for example, a web page with a URL unique to the product, and provide it to buyers.

At this time, buyers can search for products by accessing the online market using a buyer terminal (not shown), entering a search term related to the product they want, and requesting search results from the market platform 300.

Accordingly, the market platform 300 provides, as a search result, a web page created by listing each object hyperlinked to the product sales page of products related to the search term, for example, objects such as product thumbnail images or product names, to the buyer. can be provided.

And the buyer can access the product's sales page by selecting an object that hyperlinks to the specific product's sales page in the search results.

At this time, the product information registered in the market platform 300, like the product information registered in the search word recommendation device 100, includes a unique identifier assigned to the product, product name, product image, product thumbnail image, and product description. , may include information about the seller of the product, information about the manufacturer of the product, keywords related to the product, and category information to which the product belongs.

Meanwhile, referring to FIG. 2, looking at the specific configuration of the search word recommendation device 100, the search word recommendation device 100 includes a storage unit 110 that stores product information for each product that the seller sells online through the market platform 300. ) includes. The storage unit 110 may store account information for each seller's online market, product information on products handled by the seller, etc.

For example, if one seller has seller accounts in each of Company N's online market, Company C's online market, and Company W's online market, account information for each of the seller accounts in the three online markets will be registered in the storage unit 110. You can. At this time, account information may be encrypted.

And product information for each product handled by the seller may be stored in the storage unit 110. At this time, a unique identifier is assigned to each product, and the unique identifier thus assigned can be included in product information. Furthermore, the unique identifier assigned by each market platform 300 for the product may also be stored together in one product information.

For example, for one type of product handled by one seller, the unique identifier assigned by Company N's online market is '1234', the unique identifier assigned by Company C's online market is 'abcd', and Company W's online market is 'abcd'. If the unique identifier assigned is '1a2b', each unique identifier '1234', 'abcd', and '1a2b' are stored in one product information in a way that can be identified as account information for company N, company C, and company W, respectively. It can be.

Various types of data, such as files, applications, and programs, can be installed and stored in the storage unit 110. The control unit 130, which will be described later, may access and use data stored in the storage unit 110, or may store new data in the storage unit 110. Additionally, the control unit 130 may execute a program installed in the storage unit 110. A program for performing a search term recommendation method using an exposure index may be installed in the storage unit 110.

Additionally, the search word recommendation device 100 may include a communication unit 120 that communicates with the market platform 300 and the seller terminal 300, respectively.

The communication unit 120 may perform wired or wireless communication with other devices or networks. To this end, the communication unit 120 may include a communication module that supports at least one of various wired and wireless communication methods. For example, a communication module may be implemented in the form of a chipset.

Wireless communication supported by the communication unit 120 may be, for example, Wi-Fi (Wireless Fidelity), Wi-Fi Direct, Bluetooth, UWB (Ultra Wide Band), or NFC (Near Field Communication). Additionally, wired communication supported by the communication unit 120 may be, for example, USB or HDMI (High Definition Multimedia Interface).

Additionally, the search word recommendation device 100 may include a control unit 130. The control unit 130 specifically controls the overall operation of the search word recommendation device 100 and may include a processor such as a CPU. The control unit 130 may control other components included in the search word recommendation device 100 to perform operations corresponding to the seller's request received through the communication unit 120.

For example, the control unit 130 may execute a program stored in the storage unit 110, read a file stored in the storage unit 110, or store a new file in the storage unit 110.

In particular, the control unit 130 can search for a target product in the online market served by the market platform 300 using a search term selected for any target product among the products sold online by the seller through the market platform 300. there is. In addition, the control unit 130 can check the exposure position of the target product in the search results and calculate the exposure index of the selected search term according to the confirmed exposure position.

Here, the target product may be any product among products sold by the seller in the online market.

And here, the exposure index is a number calculated based on the specific location where the seller's target product is exposed in the search results when searching for a product using a specific search term in any online market. It is a number calculated based on the specific location where the target product is exposed in the search results. When exposed preferentially, it can be calculated to have a larger value than when exposed at a lower priority.

At this time, the exposure index is calculated for the target product of a specific seller, and is especially calculated in relation to a pre-selected search term. In other words, for example, when product B sold by seller A is searched in a specific online market where product B is sold, and a product search is performed using a pre-selected search term C, among the plurality of products searched, B The exposure index can be calculated based on information about the specific location where the product is exposed. In other words, the exposure index can be calculated in relation to the seller, product, and search term when they are specified.

Here, the exposure position refers to information about the page number on which the target product is exposed and the arrangement rank of the target product on the page where the target product is exposed in the search results received by performing a search in an arbitrary online market using a specific search term. It can be included.

For example, when a search is performed using the search term ‘long sleeve t-shirt’ in a specific online market, search results may be provided in a format with 20 products per page arranged on a total of 10 pages. At this time, if the target product for which the exposure index is to be calculated is arranged as the 7th product on page 3, the exposure position of the target product may be the 7th product on page 3.

In this way, the exposure position may include information about the page number and arrangement rank.

And the exposure index calculated at this time is for the search term ‘long-sleeved t-shirt’ and is calculated for the seller selling the target product. Additionally, the exposure index can be calculated for each online market.

At this time, as described above, the control unit 130 first searches the online market for a target product using the corresponding search word in order to calculate the exposure index for the specific search word. At this time, the search for the target product can be performed by the control unit 130 accessing the online market, entering a pre-selected search term in the search box of the online market, and transmitting a search request to the market platform. And the control unit 130 confirms the exposure position of the target product by identifying the location containing the object hyperlinked to the sales web page of the target product in the search result web page received from the market platform 300 in response to the search request. You can.

For example, the seller sells clothing, sells multiple types of T-shirts in a specific online market, and uses the search term 'long-sleeved T-shirt' for the red T-shirt corresponding to the unique identifier '1357'. If you want to check the exposure index when performing a search, the control unit 130 can access the relevant online market, enter 'long sleeve T-shirt' in the search box, and send a search request to the market platform 300.

In addition, the market platform 300 sorts the 198 products searched for the search term 'long-sleeved T-shirt' in a unique way, arranging 20 products per page, and transmits the generated web page to the search word recommendation device 100 as a search result. You can.

Accordingly, the control unit 130 sequentially checks the 10 search result web pages and hyperlinks to the sales page of the red T-shirt product corresponding to the unique identifier '1357', for example, a thumbnail image of the red T-shirt product or You can check whether the text corresponding to the product name or a combination thereof is arranged on which page of the search results and in what order.

At this time, the unique identifier of the product may be included as a parameter in the URL of the sales page linked to the corresponding hyperlink object, or may be included as product information on the sales page.

In addition, the control unit 130 may calculate the exposure index corresponding to the selected search term based on the exposure position of the target product confirmed in the search results for the target product for which the exposure index of the selected search term is to be calculated.

At this time, the control unit 130 may first perform a process of selecting a search word for calculating an exposure index prior to searching for a target product using a search word. For example, the control unit 130 may select a search word for calculating the exposure index by selecting one of a keyword included in the product information of the target product, a combination of keywords, or a synonym of the keyword. For example, the control unit 130 selects 'long-sleeved t-shirt', which is a combination of 't-shirt' and 'long sleeve', as a search term among a plurality of keywords included in the product information of the seller's red t-shirt product and sets the corresponding exposure index. It can be calculated.

When selecting a search term to calculate the exposure index, the control unit 130 may refer to the product type, product category, product description, or keywords tagged with the product within the product information.

Or, as another example, the control unit 130 may select or input a search word for calculating the exposure index from the seller terminal 200 of the target product.

Accordingly, the control unit 130 can classify and calculate the exposure index by online market and search word for a specific target product.

At this time, the control unit 130 may use the following formula when calculating the exposure index.

Exposure index A = ((T-R)*(100/T)) + ((N-P+1)/N*(100/T))

Here, T is the total number of grades, R is the grade to which the target product belongs, N is the total number of products belonging to the grade to which the target product belongs, and P may represent the rank of the target product in the grade to which the target product belongs.

In order to calculate the exposure index in this way, an exposure level system may be established in advance for each online market in the storage unit 110. The exposure rating system may be information about the criteria for assigning ratings to products based on the product's exposure location, that is, the page number on which the product is exposed, and the ranking of the products within the page. For example, in a certain online market, all products are divided into a total of 7 grades, and products exposed on page 1 are grade 1, products exposed on page 2 are grade 2, etc., and the grade corresponding to the page number is assigned to the product. However, an exposure rating system can be set in advance so that all products after page 7 are classified into 7 levels.

As another example, in other online markets, a total of 4 ratings are given to all products, but only the top 5 products on page 1 are given a 1 rating, and products below the top 5 products on page 1 are given a 2 rating. The exposure rating system may be set so that products arranged on 2 pages or less are given a 3rd grade, and products arranged on 3 pages or less are given a 4th grade. In this way, the exposure rating system can be set in various ways, and can be set differently depending on the characteristics of each online market. For example, you can consider the number of products arranged on each page in search results.

Accordingly, the control unit 130 can check the grade R for the search term of the target product by referring to the exposure rating system stored in the storage unit 110 and the exposure position of the target product confirmed in the search results.

In addition, the control unit 130 can check the ranking P of the target product with respect to the total number N of products to which the product belongs to the corresponding class by referring to the exposure rating system and the exposure position of the target product.

In an online market where a total of 15 products are arranged on each page of the search results, a total of 4 ratings are given to all products, but a rating of 1 is given only to the top 5 products on page 1, and below the top 5 products on page 1. A 2nd grade is given to products, a 3rd grade is given to products arranged on the 2nd page, and a 4th grade is given to products arranged on the 3rd page or less. If the target product is arranged in the 7th position on page 1, the control unit 130 can assign a 2nd grade to the target product. That is, T may be 4 and R may be 2.

And since the target product is the second product out of a total of 10 products belonging to the second class, N may be 10 and P may be 2.

Accordingly, the exposure index A=((4-2)*(100/4)) + ((10-2+1)/10*(100/4)), that is, can be 72.5.

At this time, in the formula for calculating exposure index A, the shear, i.e. ((T-R)*(100/T)), is determined by the grade to which the target product belongs and is a basic score that has the same value for all products of the same grade. And the latter part of the formula, that is, ((N-P+1)/N*(100/T)), is a differential score that is determined depending on the specific ranking in which the target product is arranged within the corresponding grade.

That is, the control unit 130 calculates the exposure index based on the exposure position of the target product within the search results of a search in a specific online market with the selected search term, and sets it differently depending on the page number and arrangement order on which the product is exposed. Based on the exposure grade system, the exposure grade of the target product can be confirmed, and the exposure index can be calculated by adding the differential score according to the exposure ranking to the basic score assigned to each exposure grade.

At this time, the formula shown above is only an example, and the product is classified into one of a plurality of grades based on the exposure position where the target product is searched, and the basic score according to the grade is differentiated according to the specific ranking within the grade. Various other formulas that calculate the exposure index by adding up the scores can be applied.

Meanwhile, the exposure index calculated in this way can be used in various ways. The control unit 130 may provide information about the exposure index of each search word to the seller through the communication unit 120.

When a seller who accesses the search word recommendation device 100 and receives integrated management services views and manages product information for a specific product he or she sells, the exposure index calculated for the keyword or combination of keywords included in the product information Information can be provided.

For example, when a seller views product information for product A that he or she sells, the search term for which the exposure index has been calculated in relation to product A and information about the exposure index of the search term can be displayed on one side.

At this time, since the exposure index is calculated separately for each online market, information on the exposure index for each online market can be provided for a specific search term.

Additionally, the search term recommendation device 100 may recommend a search term for a specific product to the seller using the exposure index.

At this time, the control unit 130 may first select a keyword among the seller's products that is not included in the product information of the product for which the search term is to be recommended as a recommended search term. Here, the control unit 130 can select a search term by referring to product information of products from other sellers that are similar to the target product.

For example, if the product information of seller A's t-shirt product B does not include the keyword 'long sleeve', and the product information of seller C's t-shirt product D contains the keyword 'long sleeve', the control unit 130 'Long sleeve' can be selected as a recommended search word for product B, the target product.

Additionally, the control unit 130 may select a combination of two or more keywords including keywords not included in the product information of the target product as a recommended search word. Furthermore, the control unit 130 may select keywords and synonyms or similar words included in the product information of the target product as recommended search words.

Next, the control unit 130 can calculate the exposure index for each recommended search word. At this time, since the recommended target search word is not included in the product information of the target product, the control unit 130 temporarily enters the recommended target search word into the product information of the target product to calculate the exposure index, and the online market for which the exposure index is to be calculated. Modified product information can also be registered to be entered in the market platform 300 of .

And the control unit 130 can calculate the exposure index for each recommended search word. That is, the control unit 130 can perform a search in the online market using each recommended search term and calculate an exposure index based on the exposure position of the target product in the search results. At this time, you can refer to the exposure rating system preset for each online market.

Meanwhile, the control unit 130 may temporarily enter the recommended search word into the product information of the target product to recommend the search word, and then delete the recommended search word from the product information of the target product again when the exposure index calculation is completed.

Also, at this time, the recommended target search word is entered not only in the product information of the target product stored in the storage unit 110 of the search word recommendation device 100, but also in the product information of the target product stored in the market platform 300 of the online market, When the calculation of the exposure index is completed, the control unit 130 may update the product information of the online market so that the recommended search term is deleted from the product information of the target product stored in the market platform 300. To this end, the control unit 130 can use the seller's account information to access the online market on behalf of the seller and update the product information of the seller's target product.

And when the calculation of the exposure index for each recommended search word is completed, the control unit 130 can select the recommended search words in order of relatively high exposure index and recommend the recommended search words to the seller as search words for the target product.

For example, among recommended search terms A, B, C, D, and E, A, C, and D with relatively high exposure indices can be provided to the seller as recommended search words for the target product.

When the seller views the product information of the target product, the control unit 130 may provide a list of recommended search words on one side of the product information of the target product. At this time, the list of recommended search words includes one or more recommended search words, and when the seller selects one of the recommended search words, the control unit 130 can cause the selected recommended search word to be added to the product information of the target product.

That is, when an additional request for the selected recommended search word is received from the seller terminal 200, the control unit 130 adds the requested recommended search word to the product information of the target product, and also adds the requested recommended search word to the product information registered in the market platform 300. It can be renewed.

Hereinafter, the exposure index calculation method and search word recommendation method using the above-described search word recommendation device 100 will be described step by step.

Figure 3 is a flowchart showing step-by-step how a search word recommendation device using exposure index calculates the exposure index, and Figure 4 shows a method for calculating the exposure index according to the grade by the method for calculating the exposure index shown in Figure 3. This is an illustrative diagram illustrating an example, and Figure 5 is a flowchart illustrating step by step a method of recommending search words using exposure index according to an embodiment.

The exposure index calculation method and the search word recommendation method according to the embodiment shown in FIGS. 3 and 5 include steps processed in time series in the search word recommendation device 100 shown in FIGS. 1 and 2. Therefore, even if the content is omitted below, the content described above regarding the search word recommendation device 100 shown in FIGS. 1 and 2 is the exposure index calculation method and the search word recommendation method according to the embodiment shown in FIGS. 3 and 5. It can also be applied.

As shown in FIG. 3, the search word recommendation device 100 can first specify a target product for calculating an exposure index and select a search word for which the exposure index is to be calculated corresponding to the target product (S300).

Here, the target product is sold by the seller in an online market and may be one of the seller's products for which product information has already been registered in the integrated management service provided by the search word recommendation device 100.

In step S300, the search term recommendation device 100 may select a keyword or a combination of keywords included in the product information of the target product, or a synonym or similar word of the keyword as a search word to calculate the exposure index. Alternatively, the search term recommendation device 100 may use a keyword or combination of keywords or a combination of keywords that is not included in the product information of the target product but is included in the product information of another seller's product similar to the target product, depending on the purpose of calculating the exposure index. Synonyms or similar words can be selected as search words.

The search term recommendation device 100 then accesses each specific online market subject to calculation of the exposure index or all online markets where the target product is sold, enters the selected search term for the target product in the search box of the online market, and then Search can be performed (S310).

For example, if the target product is sold in Company N's online market and Company C's online market, the search term recommendation device 100 performs a search using the selected search term once in Company N's online market and also in Company C's online market. You can perform a search using selected search terms.

And the search word recommendation device 100 can check the exposure position of the target product from each search result (S320). The search word recommendation device 100 can check the location where the target product is arranged in a web page received as a search result or a search list.

For example, the search word recommendation device 100 may identify a location containing a hyperlink object that links to a sales web page of the target product, and the identified location includes the page number on which the target product is exposed, and the target product. It may include information about the ranking in which the target product is arranged within this exposed page.

At this time, the target product can be distinguished from other products by the identification information given to the target product in the relevant online market, and the search word recommendation device 100 checks the parameters in the URL address hyperlinked to the hyperlink object or You can search for the identification information of the target product by checking the product identification information included in the hyperlinked sales page.

Subsequently, when the exposure position of the target product is confirmed within the results of a search performed using the search term selected in the online market, the search word recommendation device 100 may check the exposure level of the target product according to the exposure position (S330). At this time, the search word recommendation device 100 may check the exposure level of the target product based on the exposure level system for the corresponding online market where the search was performed.

The exposure rating system can be divided into five different ratings from 1 to 5, for example, as shown in Figure 4, with rating 1 being given to products exposed from the first to the 12th positions on page 1. , Grade 2 can be given to products exposed in the 13th to 40th positions on page 1. In this way, the locations where multiple products are exposed within the search results can be classified by arranged pages and rankings, and the exposure level can be classified based on the separated pages and arrangement rankings. At this time, the embodiment shown in FIG. 4 illustrates a specific online market in which 40 products are arranged on one page.

The search word recommendation device 100 may check the grade corresponding to the exposure position of the searched target product based on the exposure grade system as shown in FIG. 4. For example, when a search is performed in an online market using a selected search term, if the exposure position of the target product in the search results is ranked 5th on page 3, the search word recommendation device 100 may select the exposure level as shown in FIG. According to the classification criteria defined in the system, the exposure level of the search term can be determined as level 3.

Meanwhile, the search word recommendation device 100 may calculate an exposure index based on the grade confirmed in step S330, the number of standard products included in the grade, and the exposure ranking of the target product (S340).

For example, the search word recommendation device 100 can calculate the exposure index using the following formula.

Exposure Index A = ((T-R)*(100/T)) + ((N-P+1)/N*(100/T))

Here, T is the total number of grades, R is the grade to which the target product belongs, N is the total number of products belonging to the grade to which the target product belongs, and P may represent the rank of the target product in the grade to which the target product belongs.

For example, in the embodiment shown in FIG. 4, the search word recommendation device 100 may indicate that when the exposure position of the target product is ranked 5th on page 3, the exposure level of the target product is 3, with T being 5 and R being 3. It can be determined to have a value of .

And in the 3rd grade, that is, the standard number of products N includes 12 products from the 1st to 12th pages of page 2 and 12 products from the 1st to 12th pages of page 3 belonging to the 3rd grade, a total of 24 products, so the search word recommendation device ( 100), N is determined to be 24.

And since the target product is ranked 5th on page 3 and ranks 17th among all 24 products belonging to level 3, the search word recommendation device 100 can determine P as 17 and apply it to the above formula.

Accordingly, as shown in FIG. 4, the exposure index A of the search term can be determined to be 46.66.

Of course, the formula used in step S340 is not limited to the formula illustrated above.

The search word recommendation device 100 may then store the exposure index calculated in step S340 in association with the target product and search word (S350). Additionally, since the exposure index is calculated based on search results within a specific online market, it can be calculated and recorded separately for each online market for one target product and one search term.

Afterwards, the search word recommendation device 100 provides information on the exposure index calculated in this way to the seller, recommends search words with a high exposure index as search words not included in the target product, or deletes search words with a relatively low exposure index. You can suggest or replace it with another search term.

At this time, the method by which the search word recommendation device 100 recommends search words based on the exposure index is as shown in FIG. 5.

Specifically, the search term recommendation device 100 may first select a recommended search term for the target product (S500). Here, the recommended search term may include a keyword that is not included in the product information of the seller's target product. In particular, the search term recommendation device 100 may select a keyword included in product information of another seller's product that is the same or similar to the seller as a recommended search term.

For example, a random T-shirt product sold by a seller is the target product, the product information of the target product includes keywords such as '#T-shirt #Red #Red', and the product information of similar T-shirt products from other sellers includes '# If 'T-shirt #longsleeve #longsleeve #red' is included, the search term recommendation device 100 may include 'long sleeve' or 'long sleeve' in the product information of another seller's product, but the product of the seller's target product. Keywords that are not included in the information can be selected as recommended search terms.

At this time, the search term recommendation device 100 may select a plurality of recommended search terms.

Additionally, the search term recommendation device 100 may temporarily enter the recommended search term into the product information of the target product and allow it to be registered in the online market (S510).

For example, if the product information of the seller's target product is '#T-shirt #red #red' and 'long sleeve' is selected as the recommended search word, the search word recommendation device 100 is registered in the search word recommendation device 100. You can temporarily change the product information of the target product to '#T-shirt #Long sleeve #Red #Red'. In addition, the search word recommendation device 100 accesses the market platform 300 with the seller's account using the account information of the online market held by the seller, and product information of the target product registered in the online market is also provided to the search word recommendation device 100. It can be updated identically to the registered product information.

Then, the search term recommendation device 100 may calculate the exposure index of the recommended search term for the target product (S520). At this time, the method by which the search word recommendation device 100 calculates the exposure index in step S520 is the same as shown in FIG. 3. That is, the search word recommendation device 100 selects a recommended target search word temporarily added to the product information as one of the recommended target search words selected in step S500 as a search word in step S300 of FIG. 3 and performs steps S310 to S350. You can.

And by repeating this process, the search word recommendation device 100 can calculate the exposure index for each of the plurality of recommended search words.

Subsequently, when the calculation of the exposure index for the recommended target search word is completed through step S520, the search word recommendation device 100 can delete the recommended target search words that were temporarily added to the product information of the target product from the product information and return them to their original state. There is (S530). At this time, the search word recommendation device 100 may update not only the product information registered in the search word recommendation device 100 but also the product information of the target product registered in the market platform 300 to its original state.

And the search term recommendation device 100 may recommend at least some of the recommended search terms to the seller for the target product according to the calculated exposure index (S540).

The search word recommendation device 100 may refer to the exposure index of recommended search words and provide the seller with a list of recommended search words with relatively high exposure index.

And when the search word recommendation device 100 receives a request to add a search word for at least one selected among the recommended search words from the seller terminal 200, it enters the additionally requested search word into the product information of the target product and registers it in the online market. (S560). That is, when the seller requests to add at least some of the recommended search words to the product information, the search word recommendation device 100 provides all product information of the target product registered in the search word recommendation device 100 and the market platform 300. It can be modified to include recommended search terms.

Accordingly, the seller can include search terms with a relatively high exposure index in the product information of the target product so that the target product is exposed to buyers in a relatively high order in the search results, and as a result, the sales volume of the product increases. You can.

At this time, depending on the embodiment, the search word recommendation device 100 can not only recommend search terms that are not included in the product information of the target product but have a relatively high exposure index to the seller through the method shown in FIG. 5, and can also recommend the search word to the seller through the method shown in FIG. Among the keywords included in the product information, it can be suggested to delete search terms with a relatively low exposure index, and it can also be proposed to replace search words with a relatively low exposure index with search words with a relatively high exposure index.

The term '~unit' used in the above embodiments refers to software or hardware components such as FPGA (field programmable gate array) or ASIC, and the '~unit' performs certain roles. However, '~part' is not limited to software or hardware. The '~ part' may be configured to reside in an addressable storage medium and may be configured to reproduce on one or more processors. Therefore, as an example, '~ part' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables.

The functions provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or may be separated from additional components and 'parts'.

In addition, the components and 'parts' may be implemented to regenerate one or more CPUs within the device or secure multimedia card.

The exposure index calculation and search word recommendation method according to the embodiment described in FIGS. 3 and 5 may also be implemented in the form of a computer-readable medium that stores commands and data executable by a computer. At this time, instructions and data can be stored in the form of program code, and when executed by a processor, they can generate a certain program module and perform a certain operation. Additionally, computer-readable media can be any available media that can be accessed by a computer and includes both volatile and non-volatile media, removable and non-removable media. Additionally, computer-readable media may be computer recording media, which are volatile and non-volatile implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules, or other data. It can include both volatile, removable, and non-removable media. For example, computer recording media may include magnetic storage media such as HDDs and SSDs, optical recording media such as CDs, DVDs, and Blu-ray discs, or accessible via a network. It may be memory included in the server.

Additionally, the exposure index calculation and search term recommendation method according to the embodiment described in FIGS. 3 and 5 may be implemented as a computer program (or computer program product) including instructions executable by a computer. A computer program includes programmable machine instructions processed by a processor and may be implemented in a high-level programming language, object-oriented programming language, assembly language, or machine language. . Additionally, the computer program may be recorded on a tangible computer-readable recording medium (eg, memory, hard disk, magnetic/optical medium, or solid-state drive (SSD)).

Therefore, the exposure index calculation and search word recommendation method according to the embodiment described with reference to FIGS. 3 and 5 can be implemented by executing the computer program as described above by a computing device. The computing device may include at least some of a processor, memory, a storage device, a high-speed interface connected to the memory and a high-speed expansion port, and a low-speed interface connected to a low-speed bus and a storage device. Each of these components is connected to one another using various buses and may be mounted on a common motherboard or in some other suitable manner.

Here, the processor can process instructions within the computing device, such as displaying graphical information to provide a graphic user interface (GUI) on an external input or output device, such as a display connected to a high-speed interface. These may include instructions stored in memory or a storage device. In other embodiments, multiple processors and/or multiple buses may be utilized along with multiple memories and memory types as appropriate. Additionally, the processor may be implemented as a chipset consisting of chips including multiple independent analog and/or digital processors.

Memory also stores information within a computing device. In one example, memory may be comprised of volatile memory units or sets thereof. As another example, memory may consist of non-volatile memory units or sets thereof. The memory may also be another type of computer-readable medium, such as a magnetic or optical disk.

And the storage device can provide a large amount of storage space to the computing device. A storage device may be a computer-readable medium or a configuration that includes such media, and may include, for example, devices or other components within a storage area network (SAN), such as a floppy disk device, a hard disk device, an optical disk device, Or it may be a tape device, flash memory, or other similar semiconductor memory device or device array.

The above-described embodiments are for illustrative purposes, and those skilled in the art will recognize that the above-described embodiments can be easily modified into other specific forms without changing the technical idea or essential features of the above-described embodiments. You will understand. Therefore, the above-described embodiments should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form.

The scope sought to be protected through this specification is indicated by the patent claims described later rather than the detailed description above, and should be interpreted to include the meaning and scope of the claims and all changes or modified forms derived from the equivalent concept. .

Claims (6)

A communication unit that exchanges data with one or more market platforms and communicates with seller terminals used by sellers;
a storage unit that stores product information for each product sold online by the seller through the market platform; and
Access the online market serviced by the market platform, enter a search term selected for any target product among the products sold online by the seller through the market platform in the search box of the online market, and go to the market platform. Search for the target product by sending a search request, and identify a location containing a hyperlink object linking to a sales web page of the target product in a search result web page received from the market platform in response to the search request. A search word recommendation device comprising a control unit that checks the exposure position of the target product and calculates an exposure index of the selected search word according to the confirmed exposure position. According to paragraph 1,
The exposure location is,
Contains information about the page number on which the target product is exposed in the search results and the arrangement ranking of the target product on the page on which the target product is exposed,
The control unit,
The exposure level of the target product is confirmed based on the exposure level system that is set differently depending on the page number and arrangement rank on which the product is exposed, and the exposure index is calculated by adding the differential score according to the exposure level to the basic score assigned for each exposure level. A search term recommendation device using exposure index that calculates . According to paragraph 1,
The control unit,
Before searching for the target product in the online market, one or more recommended target search words for the target product are selected, at least one of the recommended target search words is selected, and the selected search word is added to the product information of the target product. Fill out and register on the above market platform,
After calculating the exposure index for the selected search word, a search term recommendation device using an exposure index selects recommended search words in order of relatively high exposure index among the recommended search words and recommends the search term to the seller. It is performed by a search word recommendation device that exchanges data with one or more market platforms and communicates with the seller terminal used by the seller,
Access the online market serviced by the market platform, enter a search term selected for any target product among the products sold online by the seller through the market platform in the search box of the online market, and search for the market platform. searching for the target product by sending a request;
Confirming the exposure position of the target product by identifying a location containing a hyperlink object linking to a sales web page of the target product in a search result web page received from the market platform in response to the search request;
Calculating an exposure index of the selected search word based on the confirmed exposure position of the target product; and
A search word recommendation method using an exposure index, including the step of storing the calculated exposure index in association with the target product and the selected search word. According to paragraph 4,
The exposure location is,
Contains information about the page number on which the target product is exposed in the search results and the arrangement ranking of the target product on the page on which the target product is exposed,
The step of calculating the exposure index is,
Confirming the exposure level of the target product based on an exposure level system that is set differently depending on the page number and arrangement order on which the product is exposed; and
A method of recommending search words using an exposure index, which includes calculating an exposure index by adding the differential scores according to the exposure rank to the basic score assigned for each exposure level. A computer-readable recording medium on which a program for performing the method according to claim 5 is recorded.